Method for forest zoning in broad area based on the evaluation of land-productivity and mountain hazard

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  • Kamada Mahito
    Institute of Technology and Science, The University of Tokushima
  • Sanpei Ryo
    Graduate School of Advanced Technology and Science, The University of Tokushima
  • Oka Kazuki
    Graduate School of Advanced Technology and Science, The University of Tokushima

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Other Title
  • 土地の生産性と山地災害リスクの評価に基づく森林の広域ゾーニング手法
  • トチ ノ セイサンセイ ト サンチ サイガイ リスク ノ ヒョウカ ニ モトズク シンリン ノ コウイキ ゾーニング シュホウ

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A method for forest zoning, which was based on evaluation of land-productivity and mountain hazard, was proposed for entire conifer-plantation area in Tokushima Prefecture, Shikoku, Japan. 1) Site indices on land-productivity were determined by Mitscherlich formula, and ordered logit model was developed to estimate the site indices from topographical and climatic factors. Then evaluation map of land-productivity was produced. The map was overlaid with the map evaluating work efficiency, and evaluation map on continuity of conifer plantation was produced. 2) Using point-records on slope collapse and environmental factors (topography, precipitation, and vegetation), probability of collapse was estimated for every slope from Maximum Entropy Model (Maxent). Evaluation map on mountain hazard was produced by adding information on distribution of houses, roads and railways, and croplands. Then evaluation map on the priority for altering conifer plantation to natural forest was produced by overlaying a map on the policy of natural forest expansion, which was established by Tokushima Pref. Government. Result of the Maxent indicated that increase of natural forest area could reduce the probability of slope collapse, and thus alteration of conifer plantation to natural forest will satisfy both functions at the same time. 3) Finally zoning map was produced from the viewpoints of the continuity of conifer plantation and the alteration priority from conifer plantation to natural forest. The zoning method is easily applicable in each local government in an adaptive way.

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